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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1480261/
Background . Computer-based clinical decision support systems (CDSSs) vary greatly in design and function. A taxonomy for classifying CDSS structure and function would help efforts to describe and understand the variety of CDSSs in the literature, and to explore predictors of …Cited by: 11
https://link.springer.com/article/10.1057%2Fpalgrave.ejis.3000509
Sep 28, 2004 · Keen (1980), building on Courbon's work, developed a framework or model for understanding the dynamics of decision support systems evolution.The approach proposed by Keen was termed adaptive design, although adaptive development is a more accurate term, as the approach comprises development processes other than design.Cited by: 125
https://www.researchgate.net/publication/2410748_A_Framework_for_Understanding_Decision_Support_Systems_Evolution
This paper proposes a conceptual and a technological framework for adaptive development of decision support systems (DSS) through knowledge discovery from historical data.
http://systemarchitect.mit.edu/docs/simmons08.pdf
resources to empower a systems architect to reason about architectural decisions more comprehensively and effectively compared to traditional approaches. This thesis pro-vides a computational framework for decision support called the Architecture Decision Graph framework. It supports human decision-making by providing a methodology
https://www.mdpi.com/2075-4418/9/2/52/pdf
diagnostics Article Framework for the Development of Data-Driven Mamdani-Type Fuzzy Clinical Decision Support Systems Yamid Fabián Hernández-Julio 1,* , Martha Janeth Prieto-Guevara 2, Wilson Nieto-Bernal 3, Inés Meriño-Fuentes 3,4 and Alexander Guerrero-Avendaño 5 1 Facultad de Ciencias Económicas, Administrativas y Contables, Universidad del Sinú Elías Bechara Zainúm,Cited by: 1
http://lnse.org/papers/113-CS003.pdf
framework for time-aware decision support systems, 2013 [18]. A general framework is presented for time-aware decision support systems. Market recommendations aggregation system (Business field) Application of the Knowledge-to-Act ion and Medical Research Council frameworks in the development of an osteoporosis clinical decision support tool, 2012
https://www.mdpi.com/2075-4418/9/2/52
Clinical decision support systems (CDSS) have been designed, implemented, and validated to help clinicians and practitioners for decision-making about diagnosing some diseases. Within the CDSSs, we can find Fuzzy inference systems. For the reasons above, the objective of this study was to design, to implement, and to validate a methodology for developing data-driven Mamdani-type fuzzy clinical ...Cited by: 1
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